Add 'projects/rocprofiler/' from commit '16ae2e90c6157e98e846d2bccbaaf533ca5e662a'

git-subtree-dir: projects/rocprofiler
git-subtree-mainline: 2a52e3974d
git-subtree-split: 16ae2e90c6

projects/rocprofiler/test/simple_convolution/simple_convolution.cl

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+/******************************************************************************
+Copyright (c) 2018 Advanced Micro Devices, Inc. All rights reserved.
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.  IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
+*******************************************************************************/
+
+/**
+ * SimpleConvolution is where each pixel of the output image
+ * is the weighted sum of the neighborhood pixels of the input image
+ * The neighborhood is defined by the dimensions of the mask and
+ * weight of each neighbor is defined by the mask itself.
+ * @param output Output matrix after performing convolution
+ * @param input  Input  matrix on which convolution is to be performed
+ * @param mask   mask matrix using which convolution was to be performed
+ * @param inputDimensions dimensions of the input matrix
+ * @param maskDimensions  dimensions of the mask matrix
+ */
+__kernel void SimpleConvolution(__global  uint  * output,
+                                __global  uint  * input,
+                                __global  float  * mask,
+                                const     uint2  inputDimensions,
+                                const     uint2  maskDimensions) {
+
+  uint tid   = get_global_id(0);
+
+  uint width  = inputDimensions.x;
+  uint height = inputDimensions.y;
+
+  uint x      = tid%width;
+  uint y      = tid/width;
+
+  uint maskWidth  = maskDimensions.x;
+  uint maskHeight = maskDimensions.y;
+
+  uint vstep = (maskWidth  -1)/2;
+  uint hstep = (maskHeight -1)/2;
+
+  // find the left, right, top and bottom indices such that
+  // the indices do not go beyond image boundaires
+  uint left    = (x           <  vstep) ? 0         : (x - vstep);
+  uint right   = ((x + vstep) >= width) ? width - 1 : (x + vstep);
+  uint top     = (y           <  hstep) ? 0         : (y - hstep);
+  uint bottom  = ((y + hstep) >= height)? height - 1: (y + hstep);
+
+  // initializing wighted sum value
+  float sumFX = 0;
+
+  for(uint i = left; i <= right; ++i) {
+    for(uint j = top; j <= bottom; ++j) {
+      // performing wighted sum within the mask boundaries
+      uint maskIndex = (j - (y - hstep)) * maskWidth  + (i - (x - vstep));
+      uint index     = j                 * width      + i;
+      sumFX += ((float)input[index] * mask[maskIndex]);
+    }
+  }
+
+  // To round to the nearest integer
+  sumFX += 0.5f;
+  output[tid] = (uint)sumFX;
+}